Ian Goodall

2.4k total citations · 1 hit paper
35 papers, 1.8k citations indexed

About

Ian Goodall is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Analytical Chemistry. According to data from OpenAlex, Ian Goodall has authored 35 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Endocrinology, Diabetes and Metabolism, 11 papers in Molecular Biology and 9 papers in Analytical Chemistry. Recurrent topics in Ian Goodall's work include Diabetes Management and Research (12 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (12 papers) and Metabolomics and Mass Spectrometry Studies (8 papers). Ian Goodall is often cited by papers focused on Diabetes Management and Research (12 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (12 papers) and Metabolomics and Mass Spectrometry Studies (8 papers). Ian Goodall collaborates with scholars based in United Kingdom, Australia and United States. Ian Goodall's co-authors include W. Garry John, Cas Weykamp, Andrea Mosca, Tadao Hoshino, Kor Miedema, Randie R. Little, Dušan Uhrı́n, Jan‐Olof Jeppsson, William Kew and Helen M. Crews and has published in prestigious journals such as SHILAP Revista de lepidopterología, Analytical Chemistry and Diabetes Care.

In The Last Decade

Ian Goodall

34 papers receiving 1.7k citations

Hit Papers

IFCC Reference System for Measurement of Hemoglobin A1c i... 2004 2026 2011 2018 2004 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ian Goodall United Kingdom 19 866 397 237 229 228 35 1.8k
Uwe Kobold Germany 20 927 1.1× 621 1.6× 138 0.6× 142 0.6× 125 0.5× 50 2.7k
Terence S. M. Wan China 33 785 0.9× 528 1.3× 313 1.3× 315 1.4× 219 1.0× 129 3.1k
Dietmar Stöckl Belgium 27 492 0.6× 348 0.9× 178 0.8× 141 0.6× 75 0.3× 84 2.0k
Valerie Walker United Kingdom 30 156 0.2× 818 2.1× 222 0.9× 183 0.8× 319 1.4× 112 2.9k
Lothar Siekmann Germany 24 480 0.6× 288 0.7× 161 0.7× 85 0.4× 46 0.2× 83 1.8k
Christian Staub Switzerland 33 328 0.4× 476 1.2× 90 0.4× 308 1.3× 241 1.1× 63 2.5k
Michael Rothe Germany 31 354 0.4× 727 1.8× 60 0.3× 37 0.2× 66 0.3× 122 3.1k
Karen W. Phinney United States 30 263 0.3× 819 2.1× 96 0.4× 234 1.0× 426 1.9× 90 3.0k
Valentina Pirro United States 29 306 0.4× 1.0k 2.6× 82 0.3× 218 1.0× 307 1.3× 65 2.5k
Arthur Karmen United States 25 293 0.3× 1.0k 2.5× 88 0.4× 134 0.6× 315 1.4× 109 3.8k

Countries citing papers authored by Ian Goodall

Since Specialization
Citations

This map shows the geographic impact of Ian Goodall's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ian Goodall with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ian Goodall more than expected).

Fields of papers citing papers by Ian Goodall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ian Goodall. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ian Goodall. The network helps show where Ian Goodall may publish in the future.

Co-authorship network of co-authors of Ian Goodall

This figure shows the co-authorship network connecting the top 25 collaborators of Ian Goodall. A scholar is included among the top collaborators of Ian Goodall based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ian Goodall. Ian Goodall is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Broek, Jan van den, Ian Goodall, Despina Tsipi, et al.. (2024). Handheld methanol detector for beverage analysis: interlaboratory validation. Analytical Methods. 16(24). 3859–3866. 3 indexed citations
2.
Kew, William, Ian Goodall, & Dušan Uhrı́n. (2019). Analysis of Scotch Whisky by 1H NMR and chemometrics yields insight into its complex chemistry. Food Chemistry. 298. 125052–125052. 31 indexed citations
3.
Smith, Barry L., et al.. (2019). Rapid Scotch Whisky Analysis and Authentication using Desorption Atmospheric Pressure Chemical Ionisation Mass Spectrometry. Scientific Reports. 9(1). 7994–7994. 21 indexed citations
4.
Ellis, David I., et al.. (2018). Rapid through-container detection of fake spirits and methanol quantification with handheld Raman spectroscopy. The Analyst. 144(1). 324–330. 50 indexed citations
5.
Ward, Stephen, et al.. (2018). Practice and bias in intraoperative pain management: results of a cross-sectional patient study and a survey of anesthesiologists. Journal of Pain Research. Volume 11. 561–570. 10 indexed citations
6.
Stupák, Michal, Ian Goodall, Monika Tomaniová, Jana Pulkrábová, & Jana Hajšlová. (2018). A novel approach to assess the quality and authenticity of Scotch Whisky based on gas chromatography coupled to high resolution mass spectrometry. Analytica Chimica Acta. 1042. 60–70. 61 indexed citations
7.
Ellis, David I., Yun Xu, Howbeer Muhamadali, et al.. (2017). Through-container, extremely low concentration detection of multiple chemical markers of counterfeit alcohol using a handheld SORS device. Scientific Reports. 7(1). 12082–12082. 64 indexed citations
8.
Bantel, Carsten, et al.. (2015). Different measures, different outcomes? Survey into the effectiveness of chronic pain clinics in a London tertiary referral center. Journal of Pain Research. 8. 477–477. 6 indexed citations
9.
Bantel, Carsten, et al.. (2014). The clinical psychologist and the management of inpatient pain: a small case series. Neuropsychiatric Disease and Treatment. 10. 2291–2291. 6 indexed citations
10.
dʼEmden, Michael C, Jonathan E. Shaw, Peter G. Colman, et al.. (2012). The role of HbA1c in the diagnosis of diabetes mellitus in Australia. The Medical Journal of Australia. 197(4). 220–221. 62 indexed citations
11.
Shaw, Jonathan E., Michael C dʼEmden, & Ian Goodall. (2011). Is Australia ready to use glycated haemoglobin for the diagnosis of diabetes?. The Medical Journal of Australia. 195(1). 7–8. 10 indexed citations
12.
Goodall, Ian, et al.. (2007). Desirable performance standards for HbA(1c) analysis precision, accuracy and standardisation. Clinical Chemistry and Laboratory Medicine (CCLM). 45(8). 5 indexed citations
14.
John, W. Garry, Andrea Mosca, Cas Weykamp, & Ian Goodall. (2007). HbA1c standardisation: history, science and politics.. PubMed. 28(4). 163–8. 40 indexed citations
15.
John, Andrew St, et al.. (2005). Nurse-based evaluation of point-of-care assays for glycated haemoglobin. Clinica Chimica Acta. 365(1-2). 257–263. 36 indexed citations
16.
Tsalamandris, Con, et al.. (1998). Long-Term Intraindividual Variability of Serum Lipids in Patients With Type I and Type II Diabetes. Journal of Diabetes and its Complications. 12(4). 208–214. 8 indexed citations
17.
Gilbert, Richard E., et al.. (1996). Interlaboratory Variation of GHb Assays in Victoria, Australia. Diabetes Care. 19(7). 730–734. 13 indexed citations
18.
Gilbert, Richard E., Con Tsalamandris, Leon A. Bach, et al.. (1993). Long-term glycemic control and the rate of progression of early diabetic kidney disease. Kidney International. 44(4). 855–859. 79 indexed citations
19.
Cooper, Mark E., Dimitria Vranes, Sianna Panagiotopoulos, et al.. (1990). HYPERLIPIDAEMIA INCREASES ALBUMINURIA IN HYPERTENSIVE AND NORMOTENSIVE RATS. Clinical and Experimental Pharmacology and Physiology. 17(3). 225–228. 3 indexed citations
20.
Goodall, Ian, et al.. (1989). First Report of HB Long Island-Marseille in Australia - A Chance Discovery. Hemoglobin. 13(5). 515–520.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact

Rankless by CCL
2026